Embedded systems demand high performance with minimal power consumption, and the optimisation of scratchpad memory (SPM) plays a critical role in meeting these stringent requirements. SPM, a small ...
Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications ...
Nota AI, an AI optimization technology company behind the Nota AI brand, announced that it has developed a next-generation quantization technology that significantly compresses the size of Solar, a ...
MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...
Swedish firm ZeroPoint Technologies, a spin-off from Chalmers University of Technology in Gothenburg, was founded by Professor Per Stenström and Dr. Angelos Arelakis with the goal of delivering ...
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Memory chip shortage driven by rising AI demand, prices likely to remain elevated: IESA President
"My view is the memory chip shortage is mainly because of the increased demand for AI workloads. AI workloads require advanced memory chips, including HBM or high bandwidth memory chips," he said.
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